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TÍTULO: UCB1 Based Reinforcement Learning Model for Adaptive Energy Management in Buildings
AUTORES: Andrade, R; Pinto, T ; Praca, I; Vale, Z;
PUBLICAÇÃO: 2019, FONTE: 15th International Conference on Distributed Computing and Artificial Intelligence in DISTRIBUTED COMPUTING AND ARTIFICIAL INTELLIGENCE, VOLUME: 801
INDEXADO EM: Scopus WOS CrossRef: 1
NO MEU: ORCID
62
TÍTULO: Decision Support Application for Energy Consumption Forecasting
AUTORES: Jozi, A; Pinto, T ; Praca, I; Vale, Z;
PUBLICAÇÃO: 2019, FONTE: APPLIED SCIENCES-BASEL, VOLUME: 9, NÚMERO: 4
INDEXADO EM: Scopus WOS CrossRef: 10
NO MEU: ORCID
63
TÍTULO: Day-ahead forecasting approach for energy consumption of an office building using support vector machines
AUTORES: Jozi, A; Pinto, T ; Praça, I; Vale, Z;
PUBLICAÇÃO: 2019, FONTE: 8th IEEE Symposium Series on Computational Intelligence, SSCI 2018 in Proceedings of the 2018 IEEE Symposium Series on Computational Intelligence, SSCI 2018
INDEXADO EM: Scopus CrossRef: 4
NO MEU: ORCID
64
TÍTULO: Identifying Most Probable Negotiation Scenario in Bilateral Contracts with Reinforcement Learning
AUTORES: Silva, F; Pinto, T ; Praça, I; Vale, Z;
PUBLICAÇÃO: 2019, FONTE: World Conference on Information Systems and Technologies, WorldCIST 2019 in NEW KNOWLEDGE IN INFORMATION SYSTEMS AND TECHNOLOGIES, VOL 1, VOLUME: 930
INDEXADO EM: Scopus WOS CrossRef
NO MEU: ORCID
65
TÍTULO: Collaborative reinforcement learning of energy contracts negotiation strategies
AUTORES: Pinto, T ; Praça, I; Vale, Z; Santos, C;
PUBLICAÇÃO: 2019, FONTE: 17th International Conference on Practical Applications of Agents and Multi-Agent Systems, PAAMS 2019 in Communications in Computer and Information Science, VOLUME: 1047
INDEXADO EM: Scopus CrossRef: 1
NO MEU: ORCID
66
TÍTULO: Analysis and Simulation of Local Energy Markets
AUTORES: Praca, I; Ramos, S; Andrade, R; Silva, ASD; Sica, ET;
PUBLICAÇÃO: 2019, FONTE: 16th International Conference on the European Energy Market, EEM 2019 in International Conference on the European Energy Market, EEM, VOLUME: 2019-September
INDEXADO EM: Scopus CrossRef: 5
NO MEU: ORCID
67
TÍTULO: Classification of local energy trading negotiation profiles using artificial neural networks
AUTORES: Pinto, A; Pinto, T ; Praca, I; Vale, Z;
PUBLICAÇÃO: 2019, FONTE: 2019 IEEE Power and Energy Society General Meeting, PESGM 2019 in IEEE Power and Energy Society General Meeting, VOLUME: 2019-August
INDEXADO EM: Scopus CrossRef: 1
NO MEU: ORCID
68
TÍTULO: Context aware Q-Learning-based model for decision support in the negotiation of energy contracts  Full Text
AUTORES: Rodriguez-Fernandez, J; Pinto, T ; Silva, F; Praça, I; Vale, Z; J.M Corchado;
PUBLICAÇÃO: 2019, FONTE: International Journal of Electrical Power & Energy Systems, VOLUME: 104
INDEXADO EM: CrossRef: 15
NO MEU: ORCID
69
TÍTULO: Multi-agent electricity markets and smart grids simulation with connection to real physical resources
AUTORES: Pinto, T ; Vale, Z; Praça, I; Gomes, L; Faria, P;
PUBLICAÇÃO: 2018, FONTE: Studies in Systems, Decision and Control, VOLUME: 144
INDEXADO EM: Scopus CrossRef: 1
NO MEU: ORCID
70
TÍTULO: Multi-Agent Decision Support Tool to Enable Interoperability among Heterogeneous Energy Systems
AUTORES: Teixeira, B; Pinto, T ; Silva, F; Santos, G; Praca, I; Vale, Z;
PUBLICAÇÃO: 2018, FONTE: APPLIED SCIENCES-BASEL, VOLUME: 8, NÚMERO: 3
INDEXADO EM: Scopus WOS CrossRef: 20
NO MEU: ORCID
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